activity
20102021
most citedPolynomial Learning of Distribution Families

144 citations · 184 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021★ 1 cited

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement

Parikshit Ram, Kaushik Sinha

The mathematical formalization of a neurological mechanism in the olfactory circuit of a fruit-fly as a locality sensitive hash (Flyhash) and bloom filter (FBF) has been recently p…

cs.LG2020★ 1 cited

Neural Neighborhood Encoding for Classification

Kaushik Sinha, Parikshit Ram

Inspired by the fruit-fly olfactory circuit, the Fly Bloom Filter [Dasgupta et al., 2018] is able to efficiently summarize the data with a single pass and has been used for novelty…

cs.HC2018★ 2 cited

IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding

Seyed Ali Cheraghi, Vinod Namboodiri, Kaushik Sinha

Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users…

physics.soc-ph2016★ 2 cited

Matrix Energy as a Measure of Topological Complexity of a Graph

Kaushik Sinha, Olivier L. de Weck

The complexity of highly interconnected systems is rooted in the interwoven architecture defined by its connectivity structure. In this paper, we develop matrix energy of the under…

cs.DS2013★ 27 cited

Randomized partition trees for exact nearest neighbor search

Sanjoy Dasgupta, Kaushik Sinha

The k-d tree was one of the first spatial data structures proposed for nearest neighbor search. Its efficacy is diminished in high-dimensional spaces, but several variants, with ra…

stat.ML2012★ 7 cited

Near-Optimal Algorithms for Differentially-Private Principal Components

Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha

Principal components analysis (PCA) is a standard tool for identifying good low-dimensional approximations to data in high dimension. Many data sets of interest contain private or…

cs.LG2010★ 144 cited

Polynomial Learning of Distribution Families

Mikhail Belkin, Kaushik Sinha

The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoretical comput…